Artigos de revistas sobre o tema "Unscented Kalman observer"
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Ongkosutjahjo, Martin, e Victor M. Becerra. "INTEGRATING THE UTKIN OBSERVER WITH THE UNSCENTED KALMAN FILTER". IFAC Proceedings Volumes 41, n.º 2 (2008): 12534–39. http://dx.doi.org/10.3182/20080706-5-kr-1001.02121.
Texto completo da fonteWan, Wenkang, Jingan Feng, Bao Song e Xinxin Li. "Huber-Based Robust Unscented Kalman Filter Distributed Drive Electric Vehicle State Observation". Energies 14, n.º 3 (1 de fevereiro de 2021): 750. http://dx.doi.org/10.3390/en14030750.
Texto completo da fonteYang, Rong Jun, e Yao Ye. "Drag Coefficient Identification from Flight Data via Optimal Observer". Applied Mechanics and Materials 687-691 (novembro de 2014): 787–90. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.787.
Texto completo da fonteChen, Jian Feng, Xiao Dong Sun, Long Chen e Hao Bin Jiang. "Load Torque Observer Design of PMSMs for EVs Based on Square-Root Unscented Kalman Filtering". Applied Mechanics and Materials 668-669 (outubro de 2014): 615–18. http://dx.doi.org/10.4028/www.scientific.net/amm.668-669.615.
Texto completo da fonteChen, Yong, Hao Yan e Yuecheng Li. "Vehicle State Estimation Based on Sage–Husa Adaptive Unscented Kalman Filtering". World Electric Vehicle Journal 14, n.º 7 (25 de junho de 2023): 167. http://dx.doi.org/10.3390/wevj14070167.
Texto completo da fonteQiu, Li Bo, Hui Yi Su, Hao Hu, Sheng Lin Huang, Jie Wang e Ting Jun Li. "Application of UKF Algorithm in Airborne Single Observer Passive Location". Advanced Materials Research 267 (junho de 2011): 356–62. http://dx.doi.org/10.4028/www.scientific.net/amr.267.356.
Texto completo da fonteLi, Zhao, Yu e Wei. "Underwater Bearing-only and Bearing-Doppler Target Tracking Based on Square Root Unscented Kalman Filter". Entropy 21, n.º 8 (28 de julho de 2019): 740. http://dx.doi.org/10.3390/e21080740.
Texto completo da fonteRayyam, Marouane, Malika Zazi e Youssef Barradi. "A new metaheuristic unscented Kalman filter for state vector estimation of the induction motor based on Ant Lion optimizer". COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 37, n.º 3 (8 de maio de 2018): 1054–68. http://dx.doi.org/10.1108/compel-06-2017-0239.
Texto completo da fonteWang, Taipeng, Sizhong Chen, Hongbin Ren e Yuzhuang Zhao. "Model-based unscented Kalman filter observer design for lithium-ion battery state of charge estimation". International Journal of Energy Research 42, n.º 4 (12 de dezembro de 2017): 1603–14. http://dx.doi.org/10.1002/er.3954.
Texto completo da fonteMei, Mingming, Shuo Cheng, Liang Li, Hongyuan Mu e Yuxuan Pei. "UKF-Based Observer Design for the Electric Brake Booster in Situations of Disturbance". Actuators 12, n.º 3 (22 de fevereiro de 2023): 94. http://dx.doi.org/10.3390/act12030094.
Texto completo da fonteZheng, Hong Yu, e Chang Fu Zong. "Information Fusion for State Estimation of Power Battery in Electric Vehicle Based on Unscented Kalman Filter". Applied Mechanics and Materials 303-306 (fevereiro de 2013): 975–78. http://dx.doi.org/10.4028/www.scientific.net/amm.303-306.975.
Texto completo da fonteWang, Zheng Jun, Jun Zheng Wang, Hao Wang e Jiang Bo Zhao. "Model Parameter Adaptive Sliding Mode Model-Following Position Control of PMSM". Advanced Materials Research 466-467 (fevereiro de 2012): 1089–94. http://dx.doi.org/10.4028/www.scientific.net/amr.466-467.1089.
Texto completo da fonteSong, Chuanxue, Feng Xiao, Shixin Song, Shaokun Li e Jianhua Li. "Design of a Novel Nonlinear Observer to Estimate Sideslip Angle and Tire Forces for Distributed Electric Vehicle". Mathematical Problems in Engineering 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/134615.
Texto completo da fonteNovi, Tommaso, Renzo Capitani e Claudio Annicchiarico. "An integrated artificial neural network–unscented Kalman filter vehicle sideslip angle estimation based on inertial measurement unit measurements". Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 233, n.º 7 (2 de agosto de 2018): 1864–78. http://dx.doi.org/10.1177/0954407018790646.
Texto completo da fonteUrbanski, Konrad, e Dariusz Janiszewski. "Sensorless Control of the Permanent Magnet Synchronous Motor". Sensors 19, n.º 16 (14 de agosto de 2019): 3546. http://dx.doi.org/10.3390/s19163546.
Texto completo da fonteMontani, M., S. Amirante, C. Annicchiarico e R. Capitani. "Vehicle localization combining non-linear state observer with artificial neural network". IOP Conference Series: Materials Science and Engineering 1214, n.º 1 (1 de janeiro de 2022): 012040. http://dx.doi.org/10.1088/1757-899x/1214/1/012040.
Texto completo da fonteZhu, Huichao, Jun Tu, Chen Cai, Zhiyang Deng, Qiao Wu e Xiaochun Song. "A Fast Signal-Processing Method for Electromagnetic Ultrasonic Thickness Measurement of Pipelines Based on UKF and SMO". Energies 15, n.º 18 (8 de setembro de 2022): 6554. http://dx.doi.org/10.3390/en15186554.
Texto completo da fonteRiva, Mauro H., Matthias Dagen e Tobias Ortmaier. "Adaptive High-Gain observer for joint state and parameter estimation: A comparison to Extended and Unscented Kalman filter". IFAC Proceedings Volumes 47, n.º 3 (2014): 8558–63. http://dx.doi.org/10.3182/20140824-6-za-1003.01609.
Texto completo da fonteWang, Yaxiong, Feng Kang, Taipeng Wang e Hongbin Ren. "A Robust Control Method for Lateral Stability Control of In-Wheel Motored Electric Vehicle Based on Sideslip Angle Observer". Shock and Vibration 2018 (2018): 1–11. http://dx.doi.org/10.1155/2018/8197941.
Texto completo da fonteBenômar, Yassine, Julien Croonen, Björn Verrelst, Joeri Van Mierlo e Omar Hegazy. "Model-Based Control System Design of Brushless Doubly Fed Reluctance Machines Using an Unscented Kalman Filter". Energies 14, n.º 24 (7 de dezembro de 2021): 8222. http://dx.doi.org/10.3390/en14248222.
Texto completo da fonteHu, Jie, Shijie Zheng, Xingyu Liu, Menghua Wang, Jiamei Deng e Fuwu Yan. "Optimizing the fault diagnosis and fault-tolerant control of selective catalytic reduction hydrothermal aging using the Unscented Kalman Filter observer". Fuel 288 (março de 2021): 119827. http://dx.doi.org/10.1016/j.fuel.2020.119827.
Texto completo da fonteLuo, Zeyuan, Zanhao Fu e Qiwei Xu. "An Adaptive Multi-Dimensional Vehicle Driving State Observer Based on Modified Sage–Husa UKF Algorithm". Sensors 20, n.º 23 (2 de dezembro de 2020): 6889. http://dx.doi.org/10.3390/s20236889.
Texto completo da fonteDas, Bikramaditya, Bidyadhar Subudhi e Bibhuti Bhusan Pati. "Employing nonlinear observer for formation control of AUVs under communication constraints". International Journal of Intelligent Unmanned Systems 3, n.º 2/3 (11 de maio de 2015): 122–55. http://dx.doi.org/10.1108/ijius-04-2015-0004.
Texto completo da fonteLv, Mingbo, Xiaopeng Li, Yunhua Li, Wei Zhang e Rui Guo. "UKF-Based State Estimation for Electrolytic Oxygen Generation System of Space Station". Applied Sciences 11, n.º 5 (25 de fevereiro de 2021): 2021. http://dx.doi.org/10.3390/app11052021.
Texto completo da fonteZhang, Xing, Shihua Yuan, Xufeng Yin, Xueyuan Li, Xinyi Qu e Qi Liu. "Estimation of Skid-Steered Wheeled Vehicle States Using STUKF with Adaptive Noise Adjustment". Applied Sciences 11, n.º 21 (5 de novembro de 2021): 10391. http://dx.doi.org/10.3390/app112110391.
Texto completo da fonteHan, Chunxiao, Yaru Yang, Tingting Yang, Yingmei Qin e Yanqiu Che. "Parameter estimation of slow potassium dynamics in a neuron model for seizure-like activity via adaptive lag synchronization and unscented Kalman filter". International Journal of Modern Physics B 33, n.º 15 (20 de junho de 2019): 1950159. http://dx.doi.org/10.1142/s0217979219501595.
Texto completo da fonteAl Kouzbary, Mouaz, Noor Azuan Abu Osman e Ahmad Khairi Abdul Wahab. "Sensorless control system for assistive robotic ankle-foot". International Journal of Advanced Robotic Systems 15, n.º 3 (1 de maio de 2018): 172988141877585. http://dx.doi.org/10.1177/1729881418775854.
Texto completo da fonteMa, Jianfei, Kai Ding, Bing Yan e Wen Dong. "Initial Tracking Parameter Estimation of Magnetic Ship Based on PSO". Mathematical Problems in Engineering 2020 (11 de julho de 2020): 1–7. http://dx.doi.org/10.1155/2020/7560474.
Texto completo da fonteWang, Yipeng, Lin Zhao, Jianhua Cheng, Junfeng Zhou e Shuo Wang. "A State of Charge Estimation Method of Lithium-Ion Battery Based on Fused Open Circuit Voltage Curve". Applied Sciences 10, n.º 4 (13 de fevereiro de 2020): 1264. http://dx.doi.org/10.3390/app10041264.
Texto completo da fonteSun, Jinwei, e Kai Zhao. "Adaptive neural network sliding mode control for active suspension systems with electrohydraulic actuator dynamics". International Journal of Advanced Robotic Systems 17, n.º 4 (1 de julho de 2020): 172988142094198. http://dx.doi.org/10.1177/1729881420941986.
Texto completo da fonteCui, Qingjia, Rongjun Ding, Bing Zhou e Xiaojian Wu. "Path-tracking of an autonomous vehicle via model predictive control and nonlinear filtering". Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 232, n.º 9 (4 de outubro de 2017): 1237–52. http://dx.doi.org/10.1177/0954407017728199.
Texto completo da fonteIbrahim, A., A. Azouz e A. Abosekeen. "A land vehicle’s INS/GNSS integrated navigation system using left invariant extended kalman filter". Journal of Physics: Conference Series 2616, n.º 1 (1 de novembro de 2023): 012023. http://dx.doi.org/10.1088/1742-6596/2616/1/012023.
Texto completo da fonteHu, Juqi, Subhash Rakheja e Youmin Zhang. "Tire–road friction coefficient estimation based on designed braking pressure pulse". Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 235, n.º 7 (5 de janeiro de 2021): 1876–91. http://dx.doi.org/10.1177/0954407020983580.
Texto completo da fonteSingh, Kanwar Bharat. "Virtual sensor for real-time estimation of the vehicle sideslip angle". Sensor Review 40, n.º 2 (29 de julho de 2019): 255–72. http://dx.doi.org/10.1108/sr-11-2018-0300.
Texto completo da fonteChen, Xiao, Chun Zhang, Ju-Cai Chang, Guang-Ming Zhao, Wan-Shun Zang, Zhen-Cai Zhu e Gang Shen. "Longitudinal vibration estimation of a mine hoist using a hybrid signal fusion method combining UKF, ND and improved DE". Measurement Science and Technology 35, n.º 4 (18 de janeiro de 2024): 045108. http://dx.doi.org/10.1088/1361-6501/ad1b9d.
Texto completo da fonteWang, Yanbo, Fasheng Wang, Jianjun He e Fuming Sun. "Iterative Truncated Unscented Particle Filter". Information 11, n.º 4 (16 de abril de 2020): 214. http://dx.doi.org/10.3390/info11040214.
Texto completo da fonteVepa, Ranjan. "Nonlinear Filtering of Oscillatory Measurements in Cardiovascular Applications". Mathematical Problems in Engineering 2010 (2010): 1–18. http://dx.doi.org/10.1155/2010/808019.
Texto completo da fonteKhan, Abdul Basit, Abdul Shakoor Akram e Woojin Choi. "State of Charge Estimation of Flooded Lead Acid Battery Using Adaptive Unscented Kalman Filter". Energies 17, n.º 6 (7 de março de 2024): 1275. http://dx.doi.org/10.3390/en17061275.
Texto completo da fonteHu, Juqi, Subhash Rakheja e Youmin Zhang. "Real-time estimation of tire–road friction coefficient based on lateral vehicle dynamics". Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 234, n.º 10-11 (26 de junho de 2020): 2444–57. http://dx.doi.org/10.1177/0954407020929233.
Texto completo da fonteZhang, Zipeng, Nan Xu, Hong Chen, Zhenfeng Wang, Fei Li e Xinyu Wang. "State Observers for Suspension Systems with Interacting Multiple Model Unscented Kalman Filter Subject to Markovian Switching". International Journal of Automotive Technology 22, n.º 6 (15 de novembro de 2021): 1459–73. http://dx.doi.org/10.1007/s12239-021-0126-z.
Texto completo da fonteMusunuri, Yogendra Rao, e Oh-Seol Kwon. "State Estimation Using a Randomized Unscented Kalman Filter for 3D Skeleton Posture". Electronics 10, n.º 8 (19 de abril de 2021): 971. http://dx.doi.org/10.3390/electronics10080971.
Texto completo da fonteSingh, Nivedita, M. A. Ansari, Manoj Tripathy, Pratiksha Gupta, Ikbal Ali, Yahya Alward e Adel Rawea. "Islanding Event Detection in Grid-Connected Distributed Generation Systems Using Unscented Kalman Filter". International Journal of Energy Research 2023 (13 de novembro de 2023): 1–17. http://dx.doi.org/10.1155/2023/8887455.
Texto completo da fonteBadamchizadeh, Mohammad Ali, Iraj Hassanzadeh e Mehdi Abedinpour Fallah. "Extended and Unscented Kalman Filtering Applied to a Flexible-Joint Robot with Jerk Estimation". Discrete Dynamics in Nature and Society 2010 (2010): 1–14. http://dx.doi.org/10.1155/2010/482972.
Texto completo da fonteAskari, Mohsen, Jianchun Li e Bijan Samali. "Application of Kalman Filtering Methods to Online Real-Time Structural Identification: A Comparison Study". International Journal of Structural Stability and Dynamics 16, n.º 06 (junho de 2016): 1550016. http://dx.doi.org/10.1142/s0219455415500169.
Texto completo da fonteSahl, Samer, Enbin Song e Dunbiao Niu. "Robust Cubature Kalman Filter for Moving-Target Tracking with Missing Measurements". Sensors 24, n.º 2 (9 de janeiro de 2024): 392. http://dx.doi.org/10.3390/s24020392.
Texto completo da fonteChang, Guobin. "Loosely Coupled INS/GPS Integration with Constant Lever Arm using Marginal Unscented Kalman Filter". Journal of Navigation 67, n.º 3 (16 de dezembro de 2013): 419–36. http://dx.doi.org/10.1017/s0373463313000775.
Texto completo da fonteJaniszewski, Dariusz. "Sensorless Model Predictive Control of Permanent Magnet Synchronous Motors Using an Unscented Kalman Filter". Energies 17, n.º 10 (16 de maio de 2024): 2387. http://dx.doi.org/10.3390/en17102387.
Texto completo da fontePing, Xianyao, Shuo Cheng, Wei Yue, Yongchang Du, Xiangyu Wang e Liang Li. "Adaptive estimations of tyre–road friction coefficient and body’s sideslip angle based on strong tracking and interactive multiple model theories". Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 234, n.º 14 (30 de julho de 2020): 3224–38. http://dx.doi.org/10.1177/0954407020941410.
Texto completo da fonteZhang, WeiMing, e ZeLin Shi. "Mass Imbalance Compensation Control for Stabilized Platform Based on UKF Identification". MATEC Web of Conferences 198 (2018): 01005. http://dx.doi.org/10.1051/matecconf/201819801005.
Texto completo da fonteYang, Bo, Fan Si, Fan Xu e Wenlan Zhou. "Adaptive Measurement Model of Navigation by Stellar Refraction based on Multiple Models Switching". Journal of Navigation 67, n.º 4 (13 de março de 2014): 673–85. http://dx.doi.org/10.1017/s0373463314000125.
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